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[19185] Artykuł: Hybrid Immune Algorithm for Many OptimaCzasopismo: Lecture Notes in Artificial Intelligence Tom: 6114, Strony: 540-547ISSN: 0302-9743 ISBN: 978-3-642-13231-5 Wydawca: SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY Opublikowano: 2010 Seria wydawnicza: Lecture Notes in Artificial Intelligence Autorzy / Redaktorzy / Twórcy
Grupa MNiSW: Publikacja w czasopismach wymienionych w wykazie ministra MNiSzW (część A) Punkty MNiSW: 13 Klasyfikacja Web of Science: Proceedings Paper Web of Science Keywords: Artificial immune systems  clonal selection  function optimization  |
In tins paper an algorithm is proposed, which combines elements of immune network and clonal selection together with gradual narrowing of a search area. It is used for optimization of multi-modal functions and enables finding many optima in given domains. The algorithm introduces a novel way of interaction between memory cells and population cells. The influence of cell interaction strength on the algorithm performance has been investigated. Experiments prove that the algorithm is capable of fast localization of many optima. It outperforms other presented approaches to the multi-modal function optimization problem.